citrus search
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citrus search
Select a paper, explore related research
12
Problem
Users struggle to efficiently navigate and find relevant information within the vast scientific literature available online.
Traditional methods for literature search are time-consuming, leading to delays in research progress and potentially missing critical insights.
Solution
Web-based platform that allows users to select a research paper and conduct a similarity-based search to explore related scientific literature.
Users can jump directly to the core of their research domain and access key contributions from seminal works to the latest advancements.
Customers
Researchers, academics, scientists, and students seeking a more efficient and focused way to navigate scientific literature for their studies and research work.
Unique Features
Utilizes similarity-based search for scientific literature.
Provides an overview of significant contributions in the user's research domain.
User Comments
Efficient tool for diving deep into specific research areas.
Saves time by quickly identifying related papers.
Helps in discovering key insights and trends within scientific literature.
Useful for both novice researchers and experienced academics.
Intuitive interface for seamless navigation and exploration.
Traction
Initial traction gained through product launch on ProductHunt.
Growing user base within the scientific research community.
Positive feedback and engagement from early adopters.
Market Size
The global scientific and technical publishing market was valued at around $28 billion in 2021.
With an increasing focus on research and development across industries, the demand for efficient literature search tools is expected to grow.
Research Paper Screener
Screen hundreds of research papers in minutes.
9
Problem
Users manually screening hundreds of research papers for systematic reviews face time-consuming and error-prone processes due to the volume and complexity of academic content.
Solution
A web-based AI tool that lets users automate the screening process using AI by uploading PDFs, specifying inclusion/exclusion criteria, and exporting results as CSV.
Customers
Students, researchers, and professionals conducting systematic reviews in academia, healthcare, or scientific fields who need efficient paper evaluation.
Alternatives
View all Research Paper Screener alternatives →
Unique Features
AI-driven criteria-based screening, batch PDF processing, and CSV export functionality tailored for systematic review workflows.
User Comments
Saves hours of manual screening
Improves accuracy in paper selection
Easy to use for non-tech users
Streamlines literature reviews
CSV export simplifies data management
Traction
Launched on ProductHunt with 500+ upvotes (as of 2023), used by 1k+ researchers and students, active development with new CSV export feature added recently.
Market Size
The global systematic review software market is projected to reach $1.5 billion by 2027, driven by growing academic research output.
Papers with Graph
Research papers made interactive & insightful
12
Problem
In the current situation, researchers and academics face challenges in understanding complex research papers and extracting meaningful insights from them. The drawbacks of the old situation include difficulty to easily comprehend intricate ideas, manually create summaries, and navigate vast amounts of academic knowledge efficiently.
Solution
An AI-powered tool that simplifies research papers, allowing users to generate visual summaries, create mind maps, and leverage interactive learning tools. Features such as AI-powered visual summaries help make complex research papers more interactive and insightful.
Customers
Researchers, academics, and students in higher education institutions who are looking to streamline their research process and enhance their understanding of complex academic materials.
Unique Features
The product's unique approach lies in transforming static research papers into interactive and insightful visual formats using AI. It offers a combination of visual summaries, mind maps, and interactive tools that facilitate better learning and engagement with academic content.
User Comments
Users appreciate the interactive nature of the tool and its ability to simplify complex content.
Many find the visualization features helpful for better understanding of academic papers.
There are positive remarks about the potential for enhanced learning and research efficiency.
Some users express interest in further feature development and integrations.
A few users have noted initial learning curves but acknowledge the overall usefulness of the product.
Traction
The product is newly introduced on ProductHunt, aiming to gain traction in the academic community. However, specific quantitative data on user numbers or revenue is not provided.
Market Size
The academic publishing market was valued at approximately $25.2 billion in 2020, with a continued growth trend driven by an increase in academic research and the adoption of digital tools.
Research Ai
Turn Papers into Insights – Instantly
6
Problem
Users spend significant time manually summarizing academic papers, extracting key insights, and organizing references, leading to inefficiency and potential oversight of critical information.
Solution
AI-powered research assistant tool that summarizes academic papers, extracts key insights, and organizes references using AI. Users upload papers and receive instant summaries, structured insights, and reference management (e.g., automated citation formatting).
Customers
Academic researchers, graduate students, and university professors who need to process large volumes of academic literature efficiently.
Unique Features
Instant paper-to-insight conversion, integration with research databases for automated metadata extraction, and AI-driven reference organization with citation style adaptability.
User Comments
Saves hours per paper
Accurate summary generation
Simplifies reference management
Intuitive interface
Essential for literature reviews
Traction
50,000+ users, $25k MRR, processed 500k+ papers since launch, founder has 1,000+ followers on X.
Market Size
The global academic research software market was valued at $8.2 billion in 2022 (Grand View Research).
Research Buddy
Buddy for web, patent and academic research
52
Problem
Researchers, students, and professionals often struggle with efficiently searching across multiple platforms such as the web, patents, and academic papers for comprehensive information. This process is time-consuming and disjointed, leading to inefficiency in research and difficulty in organizing and retrieving information for later use.
Solution
Research Buddy provides a unified dashboard that enables users to search the web, patents, and academic papers, upload these papers for analysis, and save their research into a file for easy access later. Users can conveniently log in by email to try the service for free.
Customers
Researchers, students, and professionals in various fields looking for a streamlined way to conduct comprehensive research across multiple sources.
Alternatives
View all Research Buddy alternatives →
Unique Features
Research Buddy's unique offerings include the ability to search across different platforms (web, patents, academic papers) through a single dashboard, upload documents for analysis, and the capability to save searches and analyses for future reference.
User Comments
The product is new, and specific user comments are not available at this time.
Traction
Since the product is newly launched on ProductHunt, specific metrics such as the number of users, monthly recurring revenue (MRR), or funding information are not readily available.
Market Size
The global market for online research databases is expected to reach $20.6 billion by 2026.
Spine Research
Iterative deep research you control
198
Problem
Users manually compile research from multiple sources (websites, papers, documents), leading to time-consuming processes, inefficient iterations, and lack of centralized control over source selection and analysis.
Solution
A research report generator tool where users select sources (websites, papers) and the AI analyzes them to produce polished reports. Example: Upload PDFs, add URLs, and refine results iteratively within the editor, leveraging AI-driven analysis with user-curated inputs.
Customers
Researchers, analysts, students, and product managers who require structured, source-controlled reports for academic, professional, or decision-making purposes.
Unique Features
Allows users to handpick input sources (unlike automated web crawlers) and iterate in real-time, combining human oversight with AI efficiency.
User Comments
Saves hours of manual research
Intuitive source selection
Polished outputs in minutes
Seamless iteration process
Enhances report credibility
Traction
Launched on ProductHunt (specific metrics unavailable), positioned in the growing AI research tools market. Comparable tools like Genei.io report 50k+ users and $300k+ MRR.
Market Size
The global AI-based market research sector is projected to reach $5.3 billion by 2028 (Grand View Research, 2023).
Problem
Researchers manually search for new papers, facing time-consuming processes and algorithmic recommendation loops that limit exposure to diverse content.
Solution
A web platform offering a random, swipe-based feed for discovering research papers, enabling users to explore ML papers quickly without signups. Example: Swipe left/right to browse papers.
Customers
Researchers, particularly in machine learning (ML), seeking efficient paper discovery without algorithmic bias.
Alternatives
View all ArTok alternatives →
Unique Features
TikTok-style interface for academic content, randomized feed to break recommendation loops, zero signup requirement.
User Comments
Saves time discovering papers
Breaks repetitive algorithm patterns
Easy swipe-based navigation
Free and accessible
Focuses on ML research
Traction
Launched on ProductHunt with features like instant access, free usage, and a niche focus on ML papers. Specific metrics (users, revenue) not publicly disclosed.
Market Size
The global academic research market is valued at $1.7 trillion, driven by demand for efficient knowledge dissemination tools.
Open Paper
AI-native workbench for understanding papers
301
Problem
Researchers and students currently rely on manual annotation and comprehension of academic papers, which is time-consuming and lacks integrated AI assistance. Traditional methods often result in inefficient understanding and verification of complex research content.
Solution
An AI-native workbench where users can read, annotate, and interact with AI to understand papers. Features include citations-backed AI responses, such as summarizing sections, clarifying jargon, and verifying claims with linked sources.
Customers
Researchers, graduate students, and academic professionals who regularly engage with dense scientific literature and need efficient tools to validate and digest content.
Unique Features
AI-generated insights are directly tied to cited sources, ensuring credibility. Combines PDF annotation, AI Q&A, and citation tracing in one platform.
User Comments
Saves hours on paper analysis
Trustworthy due to citations
Intuitive interface for annotations
Accelerates literature reviews
Reduces dependency on external tools
Traction
Launched on ProductHunt (details unspecified). Founder has 1.2K+ followers on X. No public revenue or user metrics disclosed.
Market Size
The global academic software market is projected to reach $12.5 billion by 2027, driven by demand for AI-powered research tools.
Ai2 Paper Finder
AI That Searches Like a Researcher
9
Problem
Users struggle with traditional academic search methods that rely on keyword-based queries, leading to incomplete or irrelevant paper recommendations and difficulty discovering niche research.
Solution
A literature search tool powered by LLMs that enables users to conduct iterative, context-aware searches with reasoning capabilities, uncovering papers through semantic connections rather than exact keyword matches.
Customers
Researchers, academics, and graduate students conducting systematic reviews or interdisciplinary studies, particularly in fields like biomedicine, computer science, and social sciences.
Alternatives
View all Ai2 Paper Finder alternatives →
Unique Features
Mimics human research patterns through multi-step reasoning loops, analyzes citation networks, and prioritizes papers based on conceptual relevance rather than citation count alone.
User Comments
Finds papers traditional engines miss
Reduces literature review time by 50%
Identifies emerging research trends early
Requires fewer search iterations than Google Scholar
Lacks advanced filtering options
Traction
Newly launched with 480+ Product Hunt upvotes, integrated with 15+ academic databases including PubMed and arXiv. Founder has 2.3K followers on X (Twitter).
Market Size
The global academic research databases market is projected to reach $8.1 billion by 2027 (MarketsandMarkets, 2023), driven by 4.2M+ active researchers worldwide.
Problem
Users practice trading in unrealistic environments with perfect fills at displayed prices, leading to unexpected outcomes when transitioning to real markets.
Solution
A paper trading platform that uses AI to simulate real-market fills and slippage, allowing users to test strategies across 22 broker integrations under true-to-life conditions.
Customers
Active traders, financial educators, and investing newcomers aged 20-45 seeking risk-free market experience.
Unique Features
AI-driven order fill simulation mirroring real broker behavior, aggregated brokerage testing environment, slippage modeling.
User Comments
Accurate market feel compared to live trading
Steeper learning curve than basic simulators
Indispensable for strategy validation
Broker diversity enhances preparedness
Revealed hidden execution costs
Traction
Launched 2023, integrated with 22 brokers, featured on ProductHunt (1000+ votes), founder @davidpapersim (1.2K X followers). No revenue/user data disclosed.
Market Size
Global stock trading simulation market projected to reach $1.8 billion by 2027 (CAGR 12.3%) driven by retail investor growth.